On Cyclic Finite-State Approximation of Data-Driven Systems
Optimization and Control
2019-07-22 v2 Systems and Control
Systems and Control
Operator Algebras
Abstract
In this document, some novel theoretical and computational techniques for constrained approximation of data-driven systems, are presented. The motivation for the development of these techniques came from structure-preserving matrix approximation problems that appear in the fields of system identification and model predictive control, for data-driven systems and processes. The research reported in this document is focused on finite-state approximation of data-driven systems. Some numerical implementations of the aforementioned techniques in the simulation and model predictive control of some generic data-driven systems, that are related to electrical signal transmission models, are outlined.
Cite
@article{arxiv.1907.06568,
title = {On Cyclic Finite-State Approximation of Data-Driven Systems},
author = {Fredy Vides},
journal= {arXiv preprint arXiv:1907.06568},
year = {2019}
}